CV

Education

2021.09 - 2024.03 EPFL Master of Science in Computer Science.

GPA: 5.54/6.0
Courses:
- Advanced Algorithms
- Database Systems (Scala)
- Distributed Algorithms
- Modern NLP (GPT & LLM)
- Principles of Computer Systems
- Systems for Data Science (Spark)
Thesis: Deptyque: eBPF-Based Build Provenance for Dependency Analysis, Oracle Copyright.

2017.09 - 2021.07 The Chinese University of Hong Kong, Shenzhen Bachelor of Science in Computer Science and Engineering.

Cummulative GPA: 3.827
Major GPA: 3.885
Rank:
- In major: 2 / 116
- In School of Data Science: 7 / 257
Core Courses:
- Blockchain Systems (Go)
- Cloud Computing (AWS)
- Computer Architecture
- Data Structures (Java)
- Database (SQL & MySQL)
- Distributed and Parallel Computing (MPI, OpenMP, pthread)
- Programming: C++, Python
- Probabilities
- Software Engineering
- Stochastic Processes (Markov Chain)

2019.06 - 2019.08 University of California, Berkeley Summer Session.

GPA: 4.000
Courses: Operating System and Systems Programming, Game Theory

Achievements

2021.05 Outstanding Graduates The Chinese University of Hong Kong, Shenzhen
2019.12 Academic Scholarship Scholarship (Class B) in 2018-2019 The Chinese University of Hong Kong, Shenzhen
2019.09 Dean’s List The Chinese University of Hong Kong, Shenzhen
2019.01 Meritorious Winner Interdisciplinary Contest in Modelling (MCM/ICM)
2019.01 Best Presenter in the Final Global AI Transmission Competition
2018.12 Academic Scholarship Scholarship (Class B) in 2017-2018 The Chinese University of Hong Kong, Shenzhen
2018.09 National Second Prize China Undergraduate Mathematical Contest in Modeling
2018.09 Dean’s List The Chinese University of Hong Kong, Shenzhen
2018.09 Second Prize in South China National WeChat Mini App Development Contest
2018.09 Semi-Half Admission Scholarship and Bowen Scholarship The Chinese University of Hong Kong, Shenzhen

Project List

eBPF-Based Build Provenance for Software Dependency Analysis
Infrastructure as Code: Composition and Visualization (Terraform)
Linux cgroup Scalability
Personal Blog on OCI and GitHub
Graduation Album Project
Cloud Practices at Apartsa
Bucket-Based Expiration Algorithm: Improving Eviction Efficiency for In-Memory Key-Value Database (Redis)
BitCoin Community Sentiment Analysis
Campus Heatmap

Experience In Progress

2023.09 - 2024.03 Oracle Labs Zurich Research Assistant

Project: eBPF-Based Build Provenance for Software Dependency Analysis.
Mentors: Hugo Guiroux and Christopher Ferreira, Manager: Adam Zurada
Academic advisor: Prof. Mathias Payer (EPFL).

Experiences Finished

2022.07 - 2022.12 Oracle Labs Zurich Research Assistant

Project: Infrastructure as Code: Composition and Visualization (Terraform)
Mentor: Harshad Kasture, Manager: Lucas Braun.

2021.09 - 2022.06 EPFL RS3Lab Semester Project Student

Project: Linux cgroup Scalability
Supervisor: Prof. Sanidhya Kashyap at RS3Lab

2020.07 - 2021.12 Apartsa Information Technology Co., Ltd CTO

Projects:
- Graduation Album Project
A leading overseas information sharing platform in CUHK(SZ).

2019.09 - 2021.05 The Chinese University of Hong Kong, Shenzhen Undergraduate Student Teaching Fellow

Teaching Courses:
- Spring 2021: CSC 3050 Computer Architecture
- Fall 2020: CSC 3002 C++
- Summer 2020: CSC 3100 Data Structures and Algorithms
- Spring 2020: CSC 1002 Computational Laboratory: Python
- Fall 2019: ERG 3010 Data and Knowledge Management
Hold tutorials and prepare complementary materials

2020.02 - 2020.06 The Chinese University of Hong Kong, Shenzhen Individual Researcher

Supervisor: Prof. Yeh-Ching Chung.
Topic: Bucket-Based Expiration Algorithm: Improving Eviction Efficiency for In-Memory Key-Value Database.
Accepted by The International Symposium on Memory Systems (MEMSYS) 2020.
Link

2019.02 - 2020.05 Shenzhen Research Institute of Big Data Individual Researcher

Supervisor: Dr. Yupeng Li.
Topic: Propose an innovative Ride Sharing Model and a heuristic algorithm.
Two submitted patterns by Didi Chuxing.

2018.09 - 2018.12 The Chinese University of Hong Kong, Shenzhen Research Assistant

Supervisor: Prof. SUI Pengfei.
Topic: AI sentiment analysis of Bitcoin Forum comments.
Applied the latest AI technology (NLP) to analyze the correlation between investors’ emotion and the Bitcoin price.

2018.06 - 2018.08 Shenzhen Research Institute of Big Data Software Engineer Intern

Topic: CUHK(SZ) Campus Heatmap Program.
Designed the user-friendly interface and wrote the program in a 2-person group.

2018.04 - 2020.04 Polaris Studio Co-founder.

A startup team providing software services and building softwares.
Manage a 10-person team.

Research Advisors

Prof. Sanidhya Kashyap

Linux cgroup concurrency research.
Semester projects at EPFL.

Prof. Yeh-Ching Chung

Research about computer systems.
2020.08: Bucket-Based Expiration Algorithm: Improving Eviction Efficiency for In-Memory Key-Value Database. Guochao Xie and Yeh-Ching Chung. Accepted by The International Symposium on Memory Systems (MEMSYS) 2020.

Dr. Yupeng Li

Research about modeling and algorithms.

Skills

Programming Skills:

Fluent: Python, Go, C, C++, JavaScript, Terraform.
Good: MATLAB, Java, SQL, Scala, Rust.

Frameworks and Tools:

Systems: eBPF, perf, YCSB, Docker, QEMU, Firecracker, Terraform.
Applications: Serverless, numpy, pandas, React, Django, Flask, Gin, Redis, MySQL, Markdown, Latex.

Language Skills:

TOEFL: 103. GRE: 328 + 3.5.
Native Chinese and Cantonese speaker.
French and German beginner.

Reference Links

GitHub: XieGuochao
LinkedIn: xieguochao